论文标题
使用位置数据揭示Covid-19大流行期间流动性降低的社会经济差距
Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
论文作者
论文摘要
我们使用来自哥伦比亚，墨西哥和印度尼西亚的智能手机位置数据，我们研究了非药物政策干预措施是如何旨在减轻COVID-19大流行影响人类流动性的传播的。在所有三个国家中，我们发现在实施移动限制措施之后，人类运动大大减少。重要的是，我们还发现了财富群体之间的大量和持续的移动性差异：平均而言，最高财富的用户将其移动性降低了最大的两倍，是最底层的用户的两倍。对于寻求有效分配资源来响应工作的决策者，这些发现强调，智能手机位置数据可以利用以根据特定的社会经济群体（尤其是最脆弱的人）来量身定制政策。
Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find that following the implementation of mobility restriction measures, human movement decreased substantially. Importantly, we also uncover large and persistent differences in mobility reduction between wealth groups: on average, users in the top decile of wealth reduced their mobility up to twice as much as users in the bottom decile. For decision-makers seeking to efficiently allocate resources to response efforts, these findings highlight that smartphone location data can be leveraged to tailor policies to the needs of specific socioeconomic groups, especially the most vulnerable.
